Create README.md

README.md

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+---
+license: apache-2.0
+pipeline_tag: text-generation
+language:
+- en
+- zh
+base_model:
+- meta-llama/Meta-Llama-3-8B-Instruct
+---
+# Insight-V-Summary-LLaMA3
+
+## Model Summary
+
+The Insight-V models are 7B parameter models based on LLaMA3-8B language model with a context window of 32K tokens.
+
+Oryx offers an on-demand solution to seamlessly and efficiently process visual inputs with arbitrary spatial sizes and temporal lengths.
+
+- **Repository:** https://github.com/dongyh20/Insight-V
+- **Languages:** English, Chinese
+- **Paper:** https://arxiv.org/abs/xxxx.xxxx
+
+
+### Model Architecture
+
+- **Architecture:** Pre-trained [Oryx-ViT](https://huggingface.co/THUdyh/Oryx-ViT) + LLaMA3-8B
+- **Data:** a mixture of 1.2M image-text data
+- **Precision:** BFloat16
+
+#### Hardware & Software
+
+- **Hardware:** 64 * NVIDIA Tesla A100
+- **Orchestration:** HuggingFace Trainer
+- **Code:** Pytorch
+
+## Citation